Hands-On Data Science with the Command Line: Automate everyday data science tasks using command-line tools

Hands-On Data Science with the Command Line: Automate everyday data science tasks using command-line tools
Hands-On Data Science with the Command Line: Automate everyday data science tasks using command-line tools
By 作者: Jason Morris – Chris McCubbin – Raymond Page
ISBN-10 书号: 1789132983
ISBN-13 书号: 9781789132984
Release Finelybook 出版日期: 2019-01-31
pages 页数: (124 )

$29.99

Book Description to Finelybook sorting

The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed.

This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line.

By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools.

Contents
1: DATA SCIENCE AT THE COMMAND LINE AND SETTING IT UP
2: ESSENTIAL COMMANDS
3: SHELL WORKFLOWS, AND DATA ACQUISITION AND MASSAGING
4: BASH FUNCTIONS AND DATA VISUALIZATION
5: LOOPS, FUNCTIONS, AND STRING PROCESSING
6: SQL, MATH, AND WRAPPING IT UP
What You Will Learn
Understand how to set up the command line for data science
Use AWK programming language commands to search quickly in large datasets.
Work with files and APIs using the command line
Share and collect data with CLI tools
Perform visualization with commands and functions
Uncover machine-level programming practices with a modern approach to data science
Authors
Jason Morris
Jason Morris is a systems and research engineer with over 19 years of experience in system architecture, research engineering, and large data analysis. His primary focus is machine learning with TensorFlow, CUDA, and Apache Spark.

Jason is also a speaker and a consultant for designing large-scale architectures, implementing best security practices on the cloud, creating near real-time image detection analytics with deep learning, and developing serverless architectures to aid in ETL. His most recent roles include solution architect, big data engineer, big data specialist, and instructor at Amazon Web Services. He is currently the Chief Technology Officer of Next Rev Technologies and his favorite command line program is netcat

Chris McCubbin
Chris McCubbin is a data scientist and software developer with 20 years experience in developing complex systems and analytics. He co-founded the successful big data security startup Sqrrl, since acquired by Amazon. He has also developed smart swarming systems for drones, social network analysis systems in MapReduce and big data security analytic platforms using the Apache projects Accumulo and Spark. He has been using the Unix command line starting on IRIX platforms in college and his favorite command line program is find.

以下隐藏内容!
仅供捐助用户可见,查看需要1积分,请先

ZIP压缩文内包含(PDF+EPUB+AZW3+MOBI+Code)其一
捐助送帐号积分点击了解一下
赞(0) 打赏
未经允许不得转载:finelybook » Hands-On Data Science with the Command Line: Automate everyday data science tasks using command-line tools
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏